Wei-Chen Chiu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Boosting Diffusion Guidance via Learning Degradation-Aware Models for Blind Super Resolution	2025	Shao-Hao Lu Ren Wang Ching-Chun Huang Wei-Chen Chiu
+ PDF Chat	Exemplar Masking for Multimodal Incremental Learning	2024	Yi-Lun Lee Chen-Yu Lee Wei-Chen Chiu Yi–Hsuan Tsai
+ PDF Chat	In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models	2024	Zhi-Yi Chin K. Mu Mario Fritz Pin‐Yu Chen Wei-Chen Chiu
+ PDF Chat	T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition	2024	Chen Yeh You-Ming Chang Wei-Chen Chiu Ning Yu
+ PDF Chat	Identifying and Clustering Counter Relationships of Team Compositions in PvP Games for Efficient Balance Analysis	2024	Chiu-Chou Lin Yu-Wei Shih Kuei-Ting Kuo Yu‐Cheng Chen Chien-Hua Chen Wei-Chen Chiu I‐Chen Wu
+ PDF Chat	Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Games	2024	Chiu-Chou Lin Wei-Chen Chiu I-Chen Wu
+ PDF Chat	A Recipe for CAC: Mosaic-based Generalized Loss for Improved Class-Agnostic Counting	2024	Tsung‐Han Chou Brian Wang Wei-Chen Chiu Jun-Cheng Chen
+ PDF Chat	MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes	2024	Bor-Shiun Wang Chien-Yi Wang Wei-Chen Chiu
+ PDF Chat	Improving Robustness for Joint Optimization of Camera Poses and Decomposed Low-Rank Tensorial Radiance Fields	2024	Bo-Yu Cheng Wei-Chen Chiu Yu-Lun Liu
+ PDF Chat	Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where	2024	Zhi-Yi Chin Chieh-Ming Jiang Ching-Chun Huang Pin‐Yu Chen Wei-Chen Chiu
+ PDF Chat	Transformer-based Image Compression with Variable Image Quality Objectives	2023	Chia-Hao Kao Yi‐Hsin Chen Cheng Chien Wei-Chen Chiu Wen-Hsiao Peng
+ PDF Chat	MENTOR: Multilingual Text Detection Toward Learning by Analogy	2023	Hsin-Ju Lin Tsu-Chun Chung Ching-Chun Hsiao Pin‐Yu Chen Wei-Chen Chiu Ching-Chun Huang
+ PDF Chat	TransTIC: Transferring Transformer-based Image Compression from Human Perception to Machine Perception	2023	Yi‐Hsin Chen Ying-Chieh Weng Chia-Hao Kao Cheng Chien Wei-Chen Chiu Wen-Hsiao Peng
+	Transformer-Based Variable-Rate Image Compression with Region-of-Interest Control	2023	Chia-Hao Kao Ying-Chieh Weng Yi‐Hsin Chen Wei-Chen Chiu Wen-Hsiao Peng
+ PDF Chat	Multimodal Prompting with Missing Modalities for Visual Recognition	2023	Yi-Lun Lee Yi–Hsuan Tsai Wei-Chen Chiu Chen-Yu Lee
+ PDF Chat	Mitigating Forgetting in Online Continual Learning Via Contrasting Semantically Distinct Augmentations	2023	Sheng–Feng Yu Wei-Chen Chiu
+ PDF Chat	Adaptively-Realistic Image Generation from Stroke and Sketch with Diffusion Model	2023	Shin-I Cheng Yujie Chen Wei-Chen Chiu Hung-Yu Tseng Hsin-Ying Lee
+	Multimodal Prompting with Missing Modalities for Visual Recognition	2023	Yi-Lun Lee Yi–Hsuan Tsai Wei-Chen Chiu Chen‐Yu Lee
+	Transformer-based Variable-rate Image Compression with Region-of-interest Control	2023	Chia-Hao Kao Ying-Chieh Weng Yi‐Hsin Chen Wei-Chen Chiu Wen-Hsiao Peng
+	TransTIC: Transferring Transformer-based Image Compression from Human Perception to Machine Perception	2023	Yi‐Hsin Chen Ying-Chieh Weng Chia-Hao Kao Cheng Chien Wei-Chen Chiu Wen-Hsiao Peng
+	Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts	2023	Zhi-Yi Chin Chieh-Ming Jiang Ching-Chun Huang Pin‐Yu Chen Wei-Chen Chiu
+	Transformer-based Image Compression with Variable Image Quality Objectives	2023	Chia-Hao Kao Yi‐Hsin Chen Cheng Chien Wei-Chen Chiu Wen-Hsiao Peng
+	Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where	2023	Zhi-Yi Chin Chieh-Ming Jiang Ching-Chun Huang Pin‐Yu Chen Wei-Chen Chiu
+	Skin the sheep not only once: Reusing Various Depth Datasets to Drive the Learning of Optical Flow	2023	Sheng-Chi Huang Wei-Chen Chiu
+	AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors	2023	You-Ming Chang Chen Yeh Wei-Chen Chiu Ning Yu
+ PDF Chat	RPG: Learning Recursive Point Cloud Generation	2022	Wei-Jan Kol Chen-Yi Chiu Yu‐Liang Kuo Wei-Chen Chiu
+ PDF Chat	Self-Supervised Feature Learning from Partial Point Clouds via Pose Disentanglement	2022	Meng-Shiun Tsai Pei-Ze Chiang Yi–Hsuan Tsai Wei-Chen Chiu
+ PDF Chat	Spectral Analysis for Semantic Segmentation with Applications on Feature Truncation and Weak Annotation	2022	Liwei Chen Wei-Chen Chiu Chin‐Tien Wu
+ PDF Chat	Stylizing 3D Scene via Implicit Representation and HyperNetwork	2022	Pei-Ze Chiang Meng-Shiun Tsai Hung-Yu Tseng Wei‐Sheng Lai Wei-Chen Chiu
+	Self-Supervised Feature Learning from Partial Point Clouds via Pose Disentanglement	2022	Meng-Shiun Tsai Pei-Ze Chiang Yi–Hsuan Tsai Wei-Chen Chiu
+	Vector Quantized Image-to-Image Translation	2022	Yujie Chen Shin-I Cheng Wei-Chen Chiu Hung-Yu Tseng Hsin-Ying Lee
+	Adaptively-Realistic Image Generation from Stroke and Sketch with Diffusion Model	2022	Shin-I Cheng Yujie Chen Wei-Chen Chiu Hsin-Ying Lee Hung-Yu Tseng
+ PDF Chat	BiFuse++: Self-Supervised and Efficient Bi-Projection Fusion for $360^{\circ }$ Depth Estimation	2022	Fu-En Wang Yu-Hsuan Yeh Yi-Hsuan Tsai Wei-Chen Chiu Min Sun
+	3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling	2022	Yu‐Ting Yen Chia-Ni Lu Wei-Chen Chiu Yi–Hsuan Tsai
+	Mitigating Forgetting in Online Continual Learning via Contrasting Semantically Distinct Augmentations	2022	Sheng–Feng Yu Wei-Chen Chiu
+ PDF Chat	Vector Quantized Image-to-Image Translation	2022	Yujie Chen Shin-I Cheng Wei-Chen Chiu Hung-Yu Tseng Hsin-Ying Lee
+ PDF Chat	3D-PL: Domain Adaptive Depth Estimation with 3D-Aware Pseudo-Labeling	2022	Yu‐Ting Yen Chia-Ni Lu Wei-Chen Chiu Yi–Hsuan Tsai
+ PDF Chat	Spectral Analysis for Semantic Segmentation with Applications on Feature Truncation and Weak Annotation	2022	Liwei Chen Wei-Chen Chiu Chin‐Tien Wu
+ PDF Chat	Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis	2021	Yu Hsuan Li Tzu-Yin Chao Ching-Chun Huang Pin‐Yu Chen Wei-Chen Chiu
+	An Unsupervised Video Game Playstyle Metric via State Discretization	2021	Chiu-Chou Lin Wei-Chen Chiu I‐Chen Wu
+ PDF Chat	Towards Interpretable Deep Networks for Monocular Depth Estimation	2021	Zunzhi You Yi–Hsuan Tsai Wei-Chen Chiu Guanbin Li
+ PDF Chat	Learning Facial Representations from the Cycle-consistency of Face	2021	Jia-Ren Chang Yong‐Sheng Chen Wei-Chen Chiu
+	Towards Interpretable Deep Networks for Monocular Depth Estimation.	2021	Zunzhi You Yi–Hsuan Tsai Wei-Chen Chiu Guanbin Li
+	Learning Facial Representations from the Cycle-consistency of Face	2021	Jia-Ren Chang Yong‐Sheng Chen Wei-Chen Chiu
+	MAML is a Noisy Contrastive Learner.	2021	Chia-Hsiang Kao Wei-Chen Chiu Pin‐Yu Chen
+ PDF Chat	Bridging the Visual Gap: Wide-Range Image Blending	2021	Chia-Ni Lu Ya-Chu Chang Wei-Chen Chiu
+ PDF Chat	Robust 360-8PA: Redesigning The Normalized 8-point Algorithm for 360-FoV Images	2021	Bolivar Solarte Chin-Hsuan Wu Kuan-Wei Lu Yi–Hsuan Tsai Wei-Chen Chiu Min Sun
+ PDF Chat	Domain Adaptation for Learning Generator From Paired Few-Shot Data	2021	Chun-Chih Teng Pin‐Yu Chen Wei-Chen Chiu
+	Domain Adaptation for Learning Generator from Paired Few-Shot Data	2021	Chun-Chih Teng Pin‐Yu Chen Wei-Chen Chiu
+	Bridging the Visual Gap: Wide-Range Image Blending	2021	Chia-Ni Lu Ya-Chu Chang Wei-Chen Chiu
+	LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering	2021	Fu-En Wang Yu-Hsuan Yeh Min Sun Wei-Chen Chiu Yi–Hsuan Tsai
+	An Unsupervised Video Game Playstyle Metric via State Discretization	2021	Chiu-Chou Lin Wei-Chen Chiu I‐Chen Wu
+	Learning Facial Representations from the Cycle-consistency of Face	2021	Jia-Ren Chang Yong‐Sheng Chen Wei-Chen Chiu
+	Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis	2021	Yu Hsuan Li Tzu-Yin Chao Ching-Chun Huang Pin‐Yu Chen Wei-Chen Chiu
+	Towards Interpretable Deep Networks for Monocular Depth Estimation	2021	Zunzhi You Yi–Hsuan Tsai Wei-Chen Chiu Guanbin Li
+	MAML is a Noisy Contrastive Learner in Classification	2021	Chia-Hsiang Kao Wei-Chen Chiu Pin‐Yu Chen
+	Stylizing 3D Scene via Implicit Representation and HyperNetwork	2021	Pei-Ze Chiang Meng-Shiun Tsai Hung-Yu Tseng Wei‐Sheng Lai Wei-Chen Chiu
+	Robust 360-8PA: Redesigning The Normalized 8-point Algorithm for 360-FoV Images	2021	Bolivar Solarte Chin-Hsuan Wu Kuan-Wei Lu Min Sun Wei-Chen Chiu Yi–Hsuan Tsai
+ PDF Chat	Class-incremental Learning with Rectified Feature-Graph Preservation	2020	Cheng-Hsun Lei Yi‐Hsin Chen Wen-Hsiao Peng Wei-Chen Chiu
+ PDF Chat	Class-incremental Learning with Rectified Feature-Graph Preservation	2020	Cheng-Hsun Lei Yi‐Hsin Chen Wen-Hsiao Peng Wei-Chen Chiu
+ PDF Chat	360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume	2020	Ning-Hsu Wang Bolivar Solarte Yi–Hsuan Tsai Wei-Chen Chiu Min Sun
+ PDF Chat	Self-Contained Stylization via Steganography for Reverse and Serial Style Transfer	2020	Hung‐Yu Chen I-Sheng Fang Chia-Ming Cheng Wei-Chen Chiu
+	Variational Autoencoders with Normalizing Flow Decoders	2020	Rogan Morrow Wei-Chen Chiu
+	LayoutMP3D: Layout Annotation of Matterport3D	2020	Fu-En Wang Yu-Hsuan Yeh Min Sun Wei-Chen Chiu Yi–Hsuan Tsai
+	Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization	2020	Rogan Morrow Wei-Chen Chiu
+	Class-incremental Learning with Rectified Feature-Graph Preservation	2020	Cheng-Hsun Lei Yi‐Hsin Chen Wen-Hsiao Peng Wei-Chen Chiu
+	Spectral Analysis for Semantic Segmentation with Applications on Feature Truncation and Weak Annotation	2020	Liwei Chen Wei-Chen Chiu Chin‐Tien Wu
+ PDF Chat	3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization	2019	Tsun-Hsuan Wang Hou-Ning Hu Chieh Hubert Lin Yi–Hsuan Tsai Wei-Chen Chiu Min Sun
+ PDF Chat	All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation	2019	Wei‐Lun Chang Hui‐Po Wang Wen-Hsiao Peng Wei-Chen Chiu
+ PDF Chat	Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence	2019	Hsueh-Ying Lai Yi–Hsuan Tsai Wei-Chen Chiu
+	3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization	2019	Tsun-Hsuan Wang Hou-Ning Hu Chieh Hubert Lin Yi–Hsuan Tsai Wei-Chen Chiu Min Sun
+	All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation	2019	Wei‐Lun Chang Hui‐Po Wang Wen-Hsiao Peng Wei-Chen Chiu
+	360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume	2019	Ning-Hsu Wang Bolivar Solarte Yi–Hsuan Tsai Wei-Chen Chiu Min Sun
+ PDF Chat	Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation	2018	Yen‐Cheng Liu Yu-Ying Yeh Tzu-Chien Fu Sheng‐De Wang Wei-Chen Chiu Yu-Chiang Frank Wang
+ PDF Chat	Summarizing First-Person Videos from Third Persons’ Points of Views	2018	Hsuan-I Ho Wei-Chen Chiu Yu-Chiang Frank Wang
+	Plug-and-Play: Improve Depth Estimation via Sparse Data Propagation	2018	Tsun-Hsuan Wang Fu-En Wang Juan-Ting Lin Yi–Hsuan Tsai Wei-Chen Chiu Min Sun
+	Self-Contained Stylization via Steganography for Reverse and Serial Style Transfer	2018	Hung‐Yu Chen I-Sheng Fang Wei-Chen Chiu
+	For Your Eyes Only: Learning to Summarize First-Person Videos.	2017	Hsuan-I Ho Wei-Chen Chiu Yu-Chiang Frank Wang
+ PDF Chat	STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling	2017	Yang He Wei-Chen Chiu Margret Keuper Mario Fritz
+	Learning Cross-Domain Disentangled Deep Representation with Supervision from A Single Domain.	2017	Tzu-Chien Fu Yen‐Cheng Liu Wei-Chen Chiu Sheng‐De Wang Yu-Chiang Frank Wang
+ PDF Chat	Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles	2017	Wei-Chen Chiu Fabio Galasso Mario Fritz
+	Summarizing First-Person Videos from Third Persons' Points of Views	2017	Hsuan-I Ho Wei-Chen Chiu Yu-Chiang Frank Wang
+	Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation	2017	Yen‐Cheng Liu Yu-Ying Yeh Tzu-Chien Fu Sheng‐De Wang Wei-Chen Chiu Yu-Chiang Frank Wang
+	Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles	2016	Wei-Chen Chiu Fabio Galasso Mario Fritz
+	STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling	2016	Yang He Wei-Chen Chiu Margret Keuper Mario Fritz
+	Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles	2016	Wei-Chen Chiu Fabio Galasso Mario Fritz
+ PDF Chat	See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG	2015	Wei-Chen Chiu Mario Fritz
+	See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG	2015	Wei-Chen Chiu Mario Fritz
+	See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG	2015	Wei-Chen Chiu Mario Fritz

Common Coauthors

Coauthor	Papers Together
Yi–Hsuan Tsai	20
Wen-Hsiao Peng	11
Pin‐Yu Chen	11
Yi‐Hsin Chen	9
Mario Fritz	9
Hung-Yu Tseng	6
Ching-Chun Huang	6
Chia-Hao Kao	6
Min Sun	5
Yu-Chiang Frank Wang	5
Meng-Shiun Tsai	4
Shin-I Cheng	4
Bolivar Solarte	4
Yujie Chen	4
Ying-Chieh Weng	4
Hsin-Ying Lee	4
Fu-En Wang	4
Zhi-Yi Chin	4
Chia-Ni Lu	4
Cheng Chien	4
Guanbin Li	3
Sheng‐De Wang	3
Cheng-Hsun Lei	3
Tsun-Hsuan Wang	3
Fabio Galasso	3
Yong‐Sheng Chen	3
Yen‐Cheng Liu	3
Chieh-Ming Jiang	3
Yi-Lun Lee	3
I‐Chen Wu	3
Jia-Ren Chang	3
Liwei Chen	3
Chin‐Tien Wu	3
Min Sun	3
Zunzhi You	3
Tzu-Chien Fu	3
Wei‐Sheng Lai	2
You-Ming Chang	2
Hou-Ning Hu	2
Yu Hsuan Li	2
Ning-Hsu Wang	2
Pei-Ze Chiang	2
Ning Yu	2
Ya-Chu Chang	2
Hsuan-I Ho	2
Chin-Hsuan Wu	2
Wei‐Lun Chang	2
Kuan-Wei Lu	2
Chun-Chih Teng	2
I-Sheng Fang	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Perceptual Losses for Real-Time Style Transfer and Super-Resolution	2016	Justin Johnson Alexandre Alahi Li Fei-Fei	12
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	12
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	10
+ PDF Chat	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks	2017	Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros	10
+ PDF Chat	Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization	2017	Xun Huang Serge Belongie	9
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	8
+	GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium	2017	Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler Sepp Hochreiter	7
+ PDF Chat	The Unreasonable Effectiveness of Deep Features as a Perceptual Metric	2018	Richard Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang	7
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	6
+ PDF Chat	Deep Ordinal Regression Network for Monocular Depth Estimation	2018	Huan Fu Mingming Gong Chaohui Wang Kayhan Batmanghelich Dacheng Tao	5
+ PDF Chat	Learning SO(3) Equivariant Representations with Spherical CNNs	2018	Carlos Esteves Christine Allen-Blanchette Ameesh Makadia Kostas Daniilidis	5
+ PDF Chat	Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos	2018	Hsien-Tzu Cheng Chun-Hung Chao Jin‐Dong Dong Hao-Kai Wen Tyng-Luh Liu Min Sun	5
+ PDF Chat	OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas	2018	Nikolaos Zioulis Antonis Karakottas Dimitrios Zarpalas Petros Daras	5
+ PDF Chat	Matterport3D: Learning from RGB-D Data in Indoor Environments	2017	Anne Lynn S. Chang Angela Dai Thomas Funkhouser Maciej Halber Matthias NieBner Manolis Savva Shuran Song Andy Zeng Yinda Zhang	5
+	Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs	2014	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	5
+ PDF Chat	HorizonNet: Learning Room Layout With 1D Representation and Pano Stretch Data Augmentation	2019	Cheng Sun Chi-Wei Hsiao Min Sun Hwann-Tzong Chen	5
+	Joint 2D-3D-Semantic Data for Indoor Scene Understanding	2017	Iro Armeni Sasha Sax Amir Zamir Silvio Savarese	5
+ PDF Chat	Deeper Depth Prediction with Fully Convolutional Residual Networks	2016	Iro Laina Christian Rupprecht Vasileios Belagiannis Federico Tombari Nassir Navab	5
+ PDF Chat	DuLa-Net: A Dual-Projection Network for Estimating Room Layouts From a Single RGB Panorama	2019	Shang-Ta Yang Fu-En Wang Chi‐Han Peng Peter Wonka Min Sun Hung‐Kuo Chu	5
+ PDF Chat	Deep Learning Face Attributes in the Wild	2015	Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang	4
+	Multi-Scale Context Aggregation by Dilated Convolutions	2015	Fisher Yu Vladlen Koltun	4
+ PDF Chat	Pyramid Stereo Matching Network	2018	Jia-Ren Chang Yong‐Sheng Chen	4
+	Coupled Generative Adversarial Networks	2016	Ming-Yu Liu Oncel Tuzel	4
+ PDF Chat	LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image	2018	Chuhang Zou Alex Colburn Qi Shan Derek Hoiem	4
+ PDF Chat	Unsupervised Monocular Depth Estimation with Left-Right Consistency	2017	Clément Godard Oisin Mac Aodha Gabriel Brostow	4
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	4
+	MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments	2017	Manolis Savva Anne Lynn S. Chang Alexey Dosovitskiy Thomas Funkhouser Vladlen Koltun	4
+ PDF Chat	Kernel Transformer Networks for Compact Spherical Convolution	2019	Yu-Chuan Su Kristen Grauman	4
+ PDF Chat	Unsupervised Learning of Depth and Ego-Motion from Video	2017	Tinghui Zhou Matthew Brown Noah Snavely David Lowe	4
+ PDF Chat	Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network	2018	Xinjing Cheng Peng Wang Ruigang Yang	4
+	Matching networks for one shot learning	2016	Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra	4
+	Unsupervised Domain Adaptation by Backpropagation	2014	Yaroslav Ganin Victor Lempitsky	3
+ PDF Chat	Learning to Compare: Relation Network for Few-Shot Learning	2018	Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip H. S. Torr Timothy M. Hospedales	3
+ PDF Chat	Deep Metric Learning Using Triplet Network	2015	Elad Hoffer Nir Ailon	3
+ PDF Chat	PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume	2018	Deqing Sun Xiaodong Yang Ming-Yu Liu Jan Kautz	3
+ PDF Chat	Least Squares Generative Adversarial Networks	2017	Xudong Mao Qing Li Haoran Xie Raymond Y.K. Lau Zhen Wang Stephen Paul Smolley	3
+ PDF Chat	Estimating Depth From Monocular Images as Classification Using Deep Fully Convolutional Residual Networks	2017	Yuanzhouhan Cao Zifeng Wu Chunhua Shen	3
+	Self-Supervised Learning of Depth and Camera Motion from 360° Videos	2018	Fu-En Wang Hou-Ning Hu Hsien-Tzu Cheng Juan-Ting Lin Shang-Ta Yang Meng-Li Shih Hung‐Kuo Chu Min Sun	3
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	3
+ PDF Chat	Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture	2015	David Eigen Rob Fergus	3
+	Depth Map Prediction from a Single Image using a Multi-Scale Deep Network	2014	David Eigen Christian Puhrsch Rob Fergus	3
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	3
+ PDF Chat	F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning	2019	Yongqin Xian Saurabh Sharma Bernt Schiele Zeynep Akata	3
+	Domain Separation Networks	2016	Konstantinos Bousmalis George Trigeorgis Nathan Silberman Dilip Krishnan Dumitru Erhan	3
+ PDF Chat	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	2017	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	3
+ PDF Chat	Learning Spatiotemporal Features with 3D Convolutional Networks	2015	Du Tran Lubomir Bourdev Rob Fergus Lorenzo Torresani Manohar Paluri	3
+ PDF Chat	End-to-End Learning of Geometry and Context for Deep Stereo Regression	2017	Alex Kendall Hayk Martirosyan Saumitro Dasgupta Peter Henry Ryan Kennedy Abraham Bachrach Adam Bry	3
+	Depth Map Prediction from a Single Image using a Multi-Scale Deep Network	2014	David Eigen Christian Puhrsch Rob Fergus	3
+	Unsupervised Domain Adaptation by Backpropagation	2014	Yaroslav Ganin Victor Lempitsky	3
+	InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets	2016	Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel	3